<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/18d64277-a62f-4704-805d-54bff41ff582/original=true/18d64277-a62f-4704-805d-54bff41ff582.jpeg" />Join The Tinkerer on Whop to get early releases, private pages, and the Tinkerer Discord role - all in one place. 👉 <a target="_blank" rel="ugc" href="https://whop.com/joined/cyberdelia-ai-lab/products/the-tinkerer/">Join on Whop</a><hr />This is the model you reach for when you want super clean, photo-realistic results. It’s sharp, powerful, and somehow just nails gorgeous images every single time.<hr />⚙️ Recommended Settings<pre><code>Sampling method: DPM++ 2M SDE Karras 
VAE: is already Baked In
Sampling steps: 30+ Steps
Resolution: 832x1216 / 896x1152
CFG: 3-5
Clip Skip: 1
Upscale: 1.5 upscale (0.3 - 0.35 denoise)
Upscalers: 4x_NickelbackFS_72000_G / 4x_foolhardy_Remacri / 4x_NMKD-Siax_200k</code></pre>⚙️ Recommended Settings DMD2<pre><code>Sampler: LCM
Schedule Type: Exponential
Sampling Steps: 8/12 (12 for extra detail)
CFG Scale: 1-1.5
⚡ These settings are not the same as the standard SDXL workflow — be sure to adjust your pipeline!</code></pre><hr />💡 What’s the difference between FP16 and FP32 checkpoints?FP16 (half precision) uses 16-bit floating-point weights. It’s smaller in size, loads faster, and uses less VRAM - perfect for normal image generation. You won’t notice any visual difference for inference, so it’s ideal for everyday use.FP32 (full precision) uses 32-bit weights, which means it’s larger and heavier on resources. It doesn’t improve generation quality, but it’s better if you’re training, merging, or fine-tuning models, since it keeps the exact weight data without rounding loss.<hr />🧠 PromptingExample negative prompt:<pre><code>cartoon, illustration, anime, painting, CGI, 3D render, low quality, watermark, logo, label</code></pre>or use <a target="_blank" rel="ugc" href="https://civarchive.com/models/1531979/cyberrealistic-negative-sdxl">CyberRealistic Negative</a><hr />✨ Optional Adetailer<pre><code>Adetailer model: face_yolov9c.pt
If you only want the main face being refined set 'Mask only the top k largest' to 1.</code></pre><hr />🔗 Links Backup location: <a target="_blank" rel="ugc" href="https://huggingface.co/cyberdelia/CyberRealisticXL">HuggingFace</a> <hr />☕ Fuel the Project If this model gave you stellar results, <a target="_blank" rel="ugc" href="https://ko-fi.com/cyberdelia">consider buying me a coffee</a>. Or two. Or, you know… a GPU.<hr />⚠️ Heads-Up This model can make mature or sensitive content. You’re fully responsible for what you create, so use it responsibly (or if you can’t resist, at least be artistically irresponsible).<hr />💬 Want Better Prompts? Use this custom ChatGPT to auto-generate polished prompts for CyberRealistic XL: 🔗 [<a target="_blank" rel="ugc" href="https://chatgpt.com/g/g-6834133e3ab881918a91b3ec6b9eb01f-cyberrealistic-prompt-helper">Try it now on ChatGPT</a>]

CyberRealistic XL

A quick refinement release of CyberRealistic XL, blending in select training data from other CyberRealistic models for subtle but effective improvements. Includes minor cleanup, slightly enhanced male rendering, and overall polish. Not a major leap- just a smoother, cleaner version.

cyberrealisticXL_v57.safetensors

v5.7

v10.0

v9.0

v8.0-Inpainting

v8.0

v7.0 DMD2

v7.0

v6.0

v5.8

v5.6

v5.3-Inpainting

v5.3

v3.1

v3.0

v2.2

v2.1

v2.0

v1.1 (VAE)

v1.0 Play (VAE)

This model was built with two key goals in mind: simplicity and versatility. No need for complicated prompts (unless you're into that sort of thing) - just let your imagination run wild.Personal settingsSampling method: DPM++ SDE Karras / DPM++ 2M SDE Karras VAE: is already Baked In Sampling steps: 30+ Steps Resolution: 896x1152 / 832x1216 CFG: 4-5 Clip Skip: 1Example negative prompt:cartoon, illustration, anime, painting, CGI, 3D render, low quality, watermark, logo, label

This model was built with two key goals in mind: simplicity and versatility. No need for complicated prompts (unless you're into that sort of thing) - just let your imagination run wild.
Sampling method: DPM++ 2M SDE Karras 
VAE: is already Baked In
Sampling steps: 30+ Steps
Resolution: 832x1216 / 896x1152
CFG: 3-5
Clip Skip: 1
Upscale: 1.5 upscale (0.3 - 0.35 denoise)
Upscalers: 4x_NickelbackFS_72000_G / 4x_foolhardy_Remacri / 4x_NMKD-Siax_200k.
Adetailer model: face_yolo8n.pt
If you only want the main face being refined set 'Mask only the top k largest' to 1.
Inpaint denoising strength: 0.5 (or just let this 0.4)
Use separate width/height: 1024
Use separate steps: 50 -70

v.5.7

Files with SHA256: 49e4f2939a9405685987b17c0d3c7d0dcc9a75b6af302ea97e9b6dfbdd7e84ab